National Open University Library

Cyber security meets machine learning / (Record no. 14157)

MARC details
000 -LEADER
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INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789813367265
INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9813367261
DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number KF27 .C44 2021 DCC:006.3/1
Item number 1
TITLE STATEMENT
Title Cyber security meets machine learning /
Statement of responsibility, etc Xiaofeng Chen, Willy Susilo, Elisa Bertino, editors
Copyright Date
Place of publication Singapore :
Name of publisher Springer,
Year of publication or production 2021
PHYSICAL DESCRIPTION
Number of Pages 1 online resource
Other physical details Illu;- Charts, References, Tables
FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1. IoT Attacks and Malware -- Chapter 2. Machine Learning-based Online Source Identification for Image Forensics -- Chapter 3. Reinforcement Learning Based Communication Security for Unmanned Aerial Vehicles -- Chapter 4. Visual Analysis of Adversarial Examples in Machine Learning -- Chapter 5. Adversarial Attacks against Deep Learning-based Speech Recognition Systems -- Chapter 6. Secure Outsourced Machine Learning -- Chapter 7. A Survey on Secure Outsourced Deep Learning
SUMMARY, ETC.
Summary, etc Machine learning boosts the capabilities of security solutions in the modern cyber environment. However, there are also security concerns associated with machine learning models and approaches: the vulnerability of machine learning models to adversarial attacks is a fatal flaw in the artificial intelligence technologies, and the privacy of the data used in the training and testing periods is also causing increasing concern among users. This book reviews the latest research in the area, including effective applications of machine learning methods in cybersecurity solutions and the urgent security risks related to the machine learning models. The book is divided into three parts: Cyber Security Based on Machine Learning; Security in Machine Learning Methods and Systems; and Security and Privacy in Outsourced Machine Learning. Addressing hot topics in cybersecurity and written by leading researchers in the field, the book features self-contained chapters to allow readers to select topics that are relevant to their needs. It is a valuable resource for all those interested in cybersecurity and robust machine learning, including graduate students and academic and industrial researchers, wanting to gain insights into cutting-edge research topics, as well as related tools and inspiring innovations
SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Machine learning
SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer security.
ADDED ENTRY--PERSONAL NAME
Personal name Chen, Xiaofeng,
ADDED ENTRY--PERSONAL NAME
Personal name Susilo, Willy,
ADDED ENTRY--PERSONAL NAME
Personal name Bertino, Elisa,
ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://rave.ohiolink.edu/ebooks/ebc2/9789813367265
ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://link.springer.com/10.1007/978-981-33-6726-5
ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://go.ohiolink.edu/goto?url=https://link.springer.com/10.1007/978-981-33-6726-5
ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Holdings
Permanent Location Current Location Date acquired Full call number Accession Number Koha item type
Gabriel Afolabi Ojo Central Library (Headquarters). Gabriel Afolabi Ojo Central Library (Headquarters). 11/06/2024 KF27 .C44 2021 0194785 Books

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